Effectiveness of SMS for smoking cessation: a meta-analysis_Chinese Journal of Evidence-Based Medicine

Authors：

LI Yanan ^1,2,3,4 , PAN Yixin ⁵ , PAN Jiaxue ¹ , WEI Lili ^1,2,3,4 , SHANG Wenru ^1,2,3,4 , GE Long ^2,3,5 , TIAN Jinhui ^2,3,4 ,  YANG Kehu ^2,3,4

1. School of Public Health, Lanzhou University, Lanzhou, 730000, P.R.China;
2. Key Laboratory of Evidence-Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, P.R.China;
3. Evidence-Based Medicine Center of Lanzhou University, College of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, P.R.China;
4. Chinese GRADE Center, Lanzhou, 730000, P.R.China;
5. The First Clinical Hospital of Lanzhou University, Lanzhou, 730000, P.R.China;

Corresponding author：

YANG Kehu, Email: kehuyangebm2006@126.com

Keywords：

Smoking cessation; Short message service; Meta-analysis; Randomized controlled trial

DOI：

10.7507/1672-2531.201704031

Video：

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Objective To systematically review the effectiveness of short message intervention on smoking cessation. Methods Databases including PubMed, The Cochrane Library, EMbase, CBM were searched from inception to August 2016, to collect randomized controlled trials (RCTs) about short message service (SMS) for smoking cessation. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was performed using Stata 12.0 software. Results A total of 14 RCTs involving 15 543 participants were included. The results of meta-analysis showed that, compared with the control group, no significant difference was found in self-reported three months continuous abstinence (RR=0.830, 95%CI 0.679 to 1.014, P=0.069), 30 day point quit rate (RR=0.878, 95%CI 0.687 to 1.122, P=0.076). However, there were significant differences in the self-reported 7-day point abstinence (RR=1.149, 95%CI 1.014 to 1.303, P=0.03), the CO biochemical verification abstinence (RR=0.571, 95%CI 0.357 to 0.914, P=0.020), and the average number of cigarettes smoked per day (SMD=–0.25, 95%CI –0.37 to –0.12, P<0.001). Conclusion The available evidence indicates that short message intervention has a better effect on short-term smoking cessation. Therefore, more long-term studies are needed to determine the association between SMS and quit smoking behavior.

Citation： LI Yanan, PAN Yixin, PAN Jiaxue, WEI Lili, SHANG Wenru, GE Long, TIAN Jinhui, YANG Kehu. Effectiveness of SMS for smoking cessation: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2017, 17(11): 1325-1331. doi: 10.7507/1672-2531.201704031 Copy

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2.	Ambrose J, Barua RS. The pathophysiology of cigarette smoking and cardiovascular disease: an update. J Am Coll Cardiol, 2004, 43(10): 1731-1737.
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4.	Cho JH, Lee HC, Lim DJ, et al. Mobile communication using a mobile phone with a glucometer for glucose control in type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system. J Telemed Telecare, 2009, 15(2): 77-82.
5.	Muessig KE, Pike EC, Legrand S, et al. Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review. J Med Internet Res, 2013, 15(1): 19-40.
6.	李蕾, 刘琴, 王宏, 等. 短信提醒系统提高结核患者治疗依从性的可行性研究. 中国循证医学杂志, 2011, 11(6): 631-635.
7.	田金徽, 陈耀龙, 杨克虎, 等. SR/MA 研究进展与挑战. 兰州大学学报 (医学版), 2016, 42(1): 42-47.
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15.	Naughton F, Prevost AT, Gilbert H, et al. Randomized controlled trial evaluation of a tailored leaflet and SMS text message self-help intervention for pregnant smokers (MiQuit). Nicotine Tob Res, 2012, 14(5): 569-577.
16.	Naughton F, Jamison J, Boase S, et al. Randomized controlled trial to assess the short-term effectiveness of tailored web- and text-based facilitation of smoking cessation in primary care (iQuit in Practice). Addiction, 2014, 109(7): 1184-1193.
17.	Shi HJ, Jiang XX, Yu CY, et al. Use of mobile phone text messaging to deliver an individualized smoking behaviour intervention in Chinese adolescents. J Telemed Telecare, 2013, 19(5): 282-287.
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19.	Skov-Ettrup LS, Dalum P, Bech M, et al. The effectiveness of telephone counselling and internet- and text-message-based support for smoking cessation: results from a randomized controlled trial. Addiction, 2016, 111(7): 1257-1266.
20.	Vilaplana J, Solsona F, Abella F, et al. S-PC: An e-treatment application for management of smoke-quitting patients. Comput Methods Programs Biomed, 2014, 115(1): 33-45.
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23.	王立立, 王燕玲, 姜垣. 手机戒烟干预和网络戒烟干预的国际进展研究. 中国慢性病预防与控制, 2011, 19(4): 424-426.
24.	世界卫生组织烟草或健康合作中心. 2015 年版中国临床戒烟指南. 北京: 人民卫生出版社, 2015.
25.	李蕾, 刘琴, 王宏, 等. 短信提醒系统提高结核患者治疗依从性的可行性研究. 中国循证医学杂志, 2011, 11(6): 631-635.
26.	吴一帆, 苏镜旭, 傅立哲, 等. 慢性肾脏病患者飞信随访依从性的影响因素研究. 中国全科医学, 2012, 15(11): 1198-1200.
27.	Kanters S, Park JJ, Chan K, et al. Interventions to improve adherence to antiretroviral therapy: a systematic review and network meta-analysis. Lancet HIV, 2017, 4(1): e31-e40.
28.	杨丽. 伐尼克兰长期戒烟效果安全性的 Meta 分析. 苏州: 苏州大学, 2012.
29.	Whittaker R, McRobbie H, Bullen C, et al. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev, 2016, (4): CD006611.

1. Lee PN, Forey BA, Coombs KJ. Systematic review with meta-analysis of the epidemiological evidence in the 1900s relating smoking to lung cancer. BMC Cancer, 2012, 12(1): 1-90.
2. Ambrose J, Barua RS. The pathophysiology of cigarette smoking and cardiovascular disease: an update. J Am Coll Cardiol, 2004, 43(10): 1731-1737.
3. WHO. WHO report on the global Tobacco Epidemic, 2015: Raising taxes on tobacco, 2015, WHO: Geneva.
4. Cho JH, Lee HC, Lim DJ, et al. Mobile communication using a mobile phone with a glucometer for glucose control in type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system. J Telemed Telecare, 2009, 15(2): 77-82.
5. Muessig KE, Pike EC, Legrand S, et al. Mobile phone applications for the care and prevention of HIV and other sexually transmitted diseases: a review. J Med Internet Res, 2013, 15(1): 19-40.
6. 李蕾, 刘琴, 王宏, 等. 短信提醒系统提高结核患者治疗依从性的可行性研究. 中国循证医学杂志, 2011, 11(6): 631-635.
7. 田金徽, 陈耀龙, 杨克虎, 等. SR/MA 研究进展与挑战. 兰州大学学报 (医学版), 2016, 42(1): 42-47.
8. Higgins JP, Green S. Cochrane handbook for systematic reviews of interventions (Version 5. 1. 0). Available at: http://handbook. cochrane.org.
9. Borland R, Balmford J, Benda P. Population-level effects of automated smoking cessation help programs: a randomized controlled trial. Addiction, 2013, 108(3): 618-628.
10. Boal AL, Abroms LC, Simmens S, et al. Combined quitline counseling and text messaging for smoking cessation: a quasi-experimental evaluation. Nicotine Tob Res, 2016, 18(5): 1046-1053.
11. Chan SS, Wong DC, Cheung YT, et al. A block randomized controlled trial of a brief smoking cessation counselling and advice through short message service on participants who joined the quit to win contest in Hong Kong. Health Educ Res, 2015, 30(4): 609-621.
12. Guo JL, Liao JY, Chang LC, et al. The effectiveness of an integrated multicomponent program for adolescent smoking cessation in Taiwan. Addict Behav, 2014, 39(10): 1491-1499.
13. Haug S, Meyer C, Schorr G, et al. Continuous individual support of smoking cessation using text messaging: a pilot experimental study. Nicotine Tob Res, 2009, 11(8): 915-923.
14. Haug S, Schaub MP, Venzin V, et al. Efficacy of a text message-based smoking cessation intervention for young people: a cluster randomized controlled trial. J Med Internet Res, 2013, 15(8): 324-327.
15. Naughton F, Prevost AT, Gilbert H, et al. Randomized controlled trial evaluation of a tailored leaflet and SMS text message self-help intervention for pregnant smokers (MiQuit). Nicotine Tob Res, 2012, 14(5): 569-577.
16. Naughton F, Jamison J, Boase S, et al. Randomized controlled trial to assess the short-term effectiveness of tailored web- and text-based facilitation of smoking cessation in primary care (iQuit in Practice). Addiction, 2014, 109(7): 1184-1193.
17. Shi HJ, Jiang XX, Yu CY, et al. Use of mobile phone text messaging to deliver an individualized smoking behaviour intervention in Chinese adolescents. J Telemed Telecare, 2013, 19(5): 282-287.
18. Stanczyk NE, Smit ES, Schulz DN, et al. An economic evaluation of a video- and text-based computer-tailored intervention for smoking cessation: a cost-effectiveness and cost-utility analysis of a randomized controlled trial. Plos One, 2014, 9(10): e110117.
19. Skov-Ettrup LS, Dalum P, Bech M, et al. The effectiveness of telephone counselling and internet- and text-message-based support for smoking cessation: results from a randomized controlled trial. Addiction, 2016, 111(7): 1257-1266.
20. Vilaplana J, Solsona F, Abella F, et al. S-PC: An e-treatment application for management of smoke-quitting patients. Comput Methods Programs Biomed, 2014, 115(1): 33-45.
21. White JS, Dow WH, Rungruanghiranya S. Commitment contracts and team incentives: a randomized controlled trial for smoking cessation in Thailand. Am J Prev Med, 2013, 45(5): 533-542.
22. Ybarra M, Bağci Bosi AT, Korchmaros J, et al. Correction: a text messaging-based smoking cessation program for adult smokers: randomized controlled trial. J Med Internet Res, 2015, 17(6): e125.
23. 王立立, 王燕玲, 姜垣. 手机戒烟干预和网络戒烟干预的国际进展研究. 中国慢性病预防与控制, 2011, 19(4): 424-426.
24. 世界卫生组织烟草或健康合作中心. 2015 年版中国临床戒烟指南. 北京: 人民卫生出版社, 2015.
25. 李蕾, 刘琴, 王宏, 等. 短信提醒系统提高结核患者治疗依从性的可行性研究. 中国循证医学杂志, 2011, 11(6): 631-635.
26. 吴一帆, 苏镜旭, 傅立哲, 等. 慢性肾脏病患者飞信随访依从性的影响因素研究. 中国全科医学, 2012, 15(11): 1198-1200.
27. Kanters S, Park JJ, Chan K, et al. Interventions to improve adherence to antiretroviral therapy: a systematic review and network meta-analysis. Lancet HIV, 2017, 4(1): e31-e40.
28. 杨丽. 伐尼克兰长期戒烟效果安全性的 Meta 分析. 苏州: 苏州大学, 2012.
29. Whittaker R, McRobbie H, Bullen C, et al. Mobile phone-based interventions for smoking cessation. Cochrane Database Syst Rev, 2016, (4): CD006611.

Chinese Journal of Evidence-Based Medicine

Effectiveness of SMS for smoking cessation: a meta-analysis

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